Ingo Mierswa
Announcing RapidMiner’s Next Gen Platform: How We Got Here and Where We’re Going Next
We've just announced our new, next gen cloud platform to the public — learn more about our journey to enterprise.
More Than Open Source: A Hybrid Approach to Enterprise Data Science
While open-source software offers great flexibility, it has limitations. If you’re considering launching an open-source project, here are some things to keep in mind.
5 Artificial Intelligence Trends to Watch for in 2022 & Beyond
As we enter the new year, let’s look at some of the biggest trends in the field of AI and machine learning. Here’s what to...
Exploring Go’s Model Simulator Using Housing Price Data
What factors have the biggest impact on home purchase prices? Learn to build a machine learning model in RapidMiner Go and share a simulator to...
A Manifesto for Data Science
Let’s become better data scientists by avoiding common pitfalls. Follow these basic principles to make your machine learning projects more impactful.
Model Accuracy Isn’t Enough: You Need Resilient Models
Resilience is the new accuracy in data science projects. Here’s why your “best” model might not be the best at all…
5 Artificial Intelligence Predictions for 2020 and Beyond
What's coming down the pipe for AI and machine learning in 2020 and beyond?
Data Preparation: Time consuming and tedious?
What makes data prep so difficult and tedious? Ingo shares his thoughts on this and how RapidMiner addresses this issue with a new data prep...
3 ways to ruin your business with data science
Machine learning and data science have become an intrinsic part of business. Learn how to avoid common data science mistakes that can ruin your business.
Data prep and machine learning made fun, fast and simple
Read through a demonstration of Turbo Prep and Auto Model by Ingo Mierswa to see how RapidMiner makes data prep and machine learning fun, fast,...
Doc Ingo, what model should I use?
One of the most frequent questions I get asked is: “Ingo, I am from Industry X and my data looks like Y and my colleague...
Better Machine Learning Models With Multi-Objective Feature Selection: Part 4
In Part 4 of this series we discuss multi-objective feature selection, which can be used for unsupervised learning & to identify best spaces for clusters.